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<table width="100%" summary="page for H_melanoma"><tr><td>H_melanoma</td><td align="right">R Documentation</td></tr></table>

<h2> Melanoma skin cancer incidence </h2>

<h3>Description</h3>


<p>These data from the Connecticut Tumor Registry present
age-adjusted numbers of melanoma skin-cancer incidences per
100,000 people in Connectict for the years from 1936 to 1972.
</p>


<h3>Usage</h3>

<pre>melanoma</pre>


<h3>Format</h3>


<p>A data frame with 37 observations on the following 2 variables.
</p>

<dl>
<dt>year</dt><dd><p>Years 1936 to 1972.</p>
</dd>
<dt>incidence</dt><dd><p>Rate of melanoma cancer per 100,000 population.</p>
</dd>
</dl>



<h3>Note</h3>


<p>This dataset is not related to the <code>melanoma</code>
dataset in the <B>boot</B> package with the same name.
</p>
<p>The S-PLUS 6.2 help for the melanoma data says that the incidence rate is
per <EM>million</EM>, but this is not consistent with data found at the
National Cancer Institute (<a href="http://www.nci.nih.gov">http://www.nci.nih.gov</a>).
</p>


<h3>Author(s)</h3>


<p>Documentation contributed by Kevin Wright.
</p>


<h3>Source</h3>


<p>Houghton, A., E. W. Munster, and M. V. Viola.  (1978).  Increased
Incidence of Malignant Melanoma After Peaks of Sunspot Activity.
<EM>The Lancet</EM>, <B>8</B>, 759&ndash;760.
</p>


<h3>References</h3>


<p>Cleveland, William S. (1993) <EM>Visualizing Data</EM>.  Hobart Press,
Summit, New Jersey.
</p>


<h3>Examples</h3>

<pre>
# Time-series plot.  Figure 3.64 from Cleveland.
xyplot(incidence ~ year,
  data = melanoma,
	aspect = "xy",
	panel = function(x, y)
		panel.xyplot(x, y, type="o", pch = 16),
	ylim = c(0, 6),
	xlab = "Year",
	ylab = "Incidence")
</pre>


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